Raphaël A.

Data Scientist

830 dollar
4 years

My experience

Trax RetailMarch 2020 - Present


YOOBICApril 2019 - September 2019

Deep Learning for Image Recognition applied to the Retail field

Implemented solutions for one-shot learning, such as autoencoders, ensemble models (mainly Stacking).

UpdityOctober 2016 - January 2019

Updity, the collaborative 4G sharing app
Updity is an app letting you have secured and fast 4G everywhere. More informations on fb.me/updity.

• Whole development of the Application and the Server.
Development tools : Android - Java, iOS - Swift, Python - Django. Databases in PostGreSQL
Closed Beta launched.
• Start-up Contests : Talents Paris 2024 (certification label obtained), PEPITE contest.
• Pitchs skills : namely with LVMH (Ian Rogers) and in front of the City of Paris’ Panel (Talents Paris 2024)
• Involved in the Legal Study, in charge of Communication.

Versatile NaturesJune 2018 - August 2018

Versatile Natures is a start-up offering efficiency and security improvements of cranes on construction sites, through machine learning technology.
A boarded sensors case enables the data gathering and the monitoring of the cranes.

Algorithm Development - Python, AWS DynamoDB
• Implemented a version of Gaussian mixture model capable of estimating the number of modes without external thresholds.
• Extraction of steady state signal segments from noisy data.

Data Analysis - Matlab, Python (Scikit-learn, tensorflow), MySQL, AWS
• Investigation of barometer altitude estimation and temperature variation coupling. Includes field-study on construction sites to collect missing data.
• Deep Learning on all the databases to predict the crank’s behaviour.

Software development - Django (Python)
• Developped the admin system - an administrative layer above the database

KLESIAJuly 2017 - August 2017

1-month Application Internship.
Use of Excel and SAS company's softwares.

My stack


PostGreSQL, MySQL, DynamoDB

IT Infrastructure




Machine Learning

Deep learning, Scikit-Learn, TensorFlow


Swift, Java, Python, SQL, R Language, C/C++, Matlab


AWS, Machine Learning



My education and trainings

Master 2 (M2), Data Science : Advanced Statistics, Machine Learning, Deep Learning - École Polytechnique2018 - 2019

Master, Data Science. Economy & Entrepreneurship - Telecom ParisTech2016 - 2019

Prepa MPSI / MP* - Lycée Charlemagne2014 - 2016

Baccalauréat S, Graduated with honors - Lycée Louis le Grand2011 - 2014